Chem. J. Chinese Universities ›› 2019, Vol. 40 ›› Issue (3): 448.doi: 10.7503/cjcu20180521

• Analytical Chemistry • Previous Articles     Next Articles

Preparation of Gold-modified Magnetic Graphene-based Molecularly Imprinted Composites and Electrochemical Sensing Detection of Dinbutyl Phthalate in Water

LI Ying*(), KANG Junjun, ZHAO Xueru, XU Wenkai, QI Qi   

  1. College of Environmental and Chemical Engineering, Tianjin Polytechnic University, Tianjin 300387, China
  • Received:2019-07-24 Online:2019-03-10 Published:2019-08-21
  • Contact: LI Ying E-mail:liying_791190@163.com
  • Supported by:
    † Supported by the National Natural Science Foundation of China(Nos.21106101, 21475095), the Natural Science Foundation of Tianjin City, China(Nos.12JCZDJC29500, 13JCQNJC06300) and the Natural Science Foundation of Post-doctor, China(No.2013M540281).

Abstract:

Gold-modified magnetic graphene(Au@Fe3O4@RGO) was used as a carrier to select gold-modified magnetic properties and using surface molecular imprinting technique to select dinbutyl phthalate(DBP) as a template molecule in water environment. Graphene-based molecularly imprinted composite membrane(Au@Fe3O4@RGO-MIP) was prepared and characterized by means of transmission electron microscopy(TEM), X-ray diffraction(XRD) and Fourier transform infrared spectroscopy(FTIR). Au@Fe3O4@RGO-MIP was used as the sensitive material for sensor identification components. The performance of molecularly imprinted electrochemical sensors was analyzed by cyclic voltammetry(CV), electrochemical impedance spectroscopy(EIS) and differential pulse(DPV). The results show that the equilibrium time of the molecularly imprinted electrochemical sensor for dinbutyl phthalate in water environment is 6 min. In the concentration range of 0.01—0.1 μmol/L, there is a good linear relationship between DBP concentration and response current. The minimum detection limit is 0.3049 nmol/L(S/N=3).

Key words: Molecular imprinting technique, Graphene, Gold nanoparticle, Sensor, Phthalate

CLC Number: 

TrendMD: